The job, in the employer's words
At Green Irony, we exist to turn AI into Actual Intelligence — accelerating outcomes and proving that complexity is optional.
We don't just build AI-native systems for our clients; we run our own company on them. Quoting, hiring, delivery, account management — the same stack we implement for customers is the stack we operate on every day. It lets a small team deliver like one 10x its size: enterprise-grade integrations shipped in weeks, not months, by senior US-based engineers working alongside AI.
We hire people who automate first, bias hard toward action, and treat ownership as a default setting. If you'd rather govern yourself than be governed by layers of managers, welcome home.
What you'll do
You'll own technical solutions end to end — from discovery through architecture, build, and delivery — working across our full delivery stack and directing AI and agents as a core part of how you work. This is a back-to-front engineering role spanning integration, data, services, and infrastructure, on a team that ships fast and holds a high bar for quality.
- You'll be currently located in the Raleigh/Triangle/Durham surrounding area
- Own solutions end to end: discovery, architecture, build, and delivery.
- Design and build integrations and connected systems across MuleSoft, Salesforce, and modern AI and agentic tooling.
- Work alongside AI agents daily — directing, reviewing, debugging, and hardening AI-generated code.
- Translate ambiguous client problems into clear technical solutions, face-to-face with the client.
- Own technical direction on your engagements and help raise the team's practices as tools and methods evolve.
What you'll bring (core requirements)
- Strong software engineering foundation — you know what good looks like: performance, reusability, and sound engineering practice.
- Hands-on integration experience, used recently and regularly — API-led, event-driven, composable integration across enterprise systems (platform-agnostic).
- A real, hands-on AI practice — you use AI and agents in your engineering work to generate, refactor, and debug code, and you can review and harden what they produce. If you're not yet working this way full-time, you're a fast, deliberate adopter who clearly sees where engineering is going.
- Security depth across three layers:
- Secure coding fundamentals — OWASP Top 10, input validation, authentication and authorization (OAuth2/OIDC, JWT, session handling), and dependency/vulnerability management.
- Infrastructure security — secrets management, network segmentation, encryption in transit and at rest, and least-privilege IAM. Real hands-on experience, not just familiarity.
- AI and agent data-security judgment — knowing what is and isn't safe to expose to AI tools, and how credentials are handled when agents touch client systems.
- Hands-on cloud experience with AWS or Azure — compute/serverless, storage, IAM, and infrastructure-as-code (Terraform, CloudFormation, or Bicep). Deep in one platform, working knowledge of the other. Containers and orchestration (Docker, plus ECS/AKS/Kubernetes) a plus.
- Architect-level scope — you own architecture and stack decisions end to end, lead discovery, and operationalize new tools and practices for the team, while still building hands-on.
- Client-facing discovery and solutioning — you work directly with clients, translating ambiguous business problems into clear technical solutions.
How you work
- Proactive communicator who drives to commitments — you raise blockers early, you're honest when something is behind, and you aggressively drive your work to the commitments you've made.
- Owns delivery and the pace of play — you're self-directed, manage your own workload, and set the tempo rather than waiting to be pushed. You're responsible for momentum: keeping work moving, flagging risks before they become problems, holding the line on timelines, and taking accountability for getting it delivered.
- Adaptable — comfortable evolving your tools and methods as the way we deliver changes.
- Curious — you ask questions, find the gaps, and fill them.
Nice to have
- MuleSoft experience — Anypoint, DataWeave, CloudHub or Runtime Fabric.
- Salesforce experience across the major clouds (Sales, Service, Experience, CPQ/Revenue, Financial Services Cloud).
- Prior experience in an AI-native or AI-accelerated delivery environment.
Location
Raleigh / Research Triangle / Durham and surrounding areas strongly preferred as we are a hybrid team who values collaboration and camaraderie. Exceptional US-based candidates elsewhere considered.
Transform Your Career — the AI-First Way
At Green Irony, you…
- Take full ownership of your work—proactively solve problems and drive deliverables to completion.
- Relentlessly pursue outcomes, measuring success by delivered value, not just output.
- Solve complex problems with practical, innovative solutions.
- Communicate directly, transparently, and with positive intent—focusing on clarity, not politics.
- Grow continuously—mentoring, learning, and automating to expand your impact.
Benefits Snapshot
- Competitive salary + performance bonus
- Medical, dental, and vision coverage
- 401(k) with generous company match
- Flexible PTO
- Annual professional development budget (certifications, conferences, AI tools)
- Equipment stipend
Equal Opportunity, Zero BS
Green Irony is an equal opportunity employer committed to building an inclusive team where diverse voices drive better outcomes.
We evaluate all qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, veteran status, disability, or any other protected classification—because the only bias we tolerate is toward delivering excellent work.
Benefits mentioned
- Competitive salary + performance bonus
- Medical, dental, and vision coverage
- 401(k) with generous company match
- Flexible PTO
- Annual professional development budget (certifications, conferences, AI tools)
- Equipment stipend
Requirements mentioned
- Strong software engineering foundation — you know what good looks like: performance, reusability, and sound engineering practice.
- Hands-on integration experience, used recently and regularly — API-led, event-driven, composable integration across enterprise systems (platform-agnostic).
- A real, hands-on AI practice — you use AI and agents in your engineering work to generate, refactor, and debug code, and you can review and harden what they produce. If you're not yet working this way full-time, you're a fast, deliberate adopter who clearly sees where engineering is going.
- Security depth across three layers:
- Hands-on cloud experience with AWS or Azure — compute/serverless, storage, IAM, and infrastructure-as-code (Terraform, CloudFormation, or Bicep). Deep in one platform, working knowledge of the other. Containers and orchestration (Docker, plus ECS/AKS/Kubernetes) a plus.
- Architect-level scope — you own architecture and stack decisions end to end, lead discovery, and operationalize new tools and practices for the team, while still building hands-on.
- Client-facing discovery and solutioning — you work directly with clients, translating ambiguous business problems into clear technical solutions.
- MuleSoft experience — Anypoint, DataWeave, CloudHub or Runtime Fabric.
- Salesforce experience across the major clouds (Sales, Service, Experience, CPQ/Revenue, Financial Services Cloud).
- Prior experience in an AI-native or AI-accelerated delivery environment.
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.